whatmodel.sh / image / FLUX.2 [klein] Base 9B
FLUX.2 [klein] Base 9B
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FLUX.2 [klein] Base 9B is an open-weights image model from Black Forest Labs, released January 2026. Its published size is 9B parameters. Licence: flux-dev-nc.
Catalogue identity notes
Black Forest Labs FLUX.2 [klein] 9B undistilled base checkpoint (black-forest-labs/FLUX.2-klein-base-9B, pinned 3277332; gated with automatic approval; HF licence metadata 'flux-non-commercial-license'). Separate from the catalogued distilled flux-2-klein-9b. ChartSync Table 7 lists 'FLUX.2-Klein-Base-9B' (guidance 4.0, 50 steps); InfoEdit links https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B (its 0.0% average success rate is not imported). Comparison-only.
Score within the LMArena text-to-image comparison set only.
$ how it compares
The image models ranked either side of FLUX.2 [klein] Base 9B, out of 197 with a score, then more from Black Forest Labs.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 79 |  LLaDA-Image | 55±3 | local | ||
| 80 |  Qwen-Image-Edit | 55±2 | api $0.030/image +local | ||
| 81 | FLUX.2 [klein] Base 9B | 55±4 | comparison only | ||
| 82 | FLUX.2 [klein] 9B | 55±2 | api $0.015/image +local | ||
| 83 | FLUX.1 Kontext [max] | 55±2 | api $0.080/image | ||
| more from Black Forest Labs | |||||
| 32 | FLUX.2 [max] | 64±1 | api $0.070/image | ||
| 36 | FLUX.2 [pro] | 63±2 | api $0.030/image | ||
| 37 | FLUX.2 [flex] | 62±2 | api $0.050/image | ||
$ what it's good at
other tests1 not in a task · 92% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| ChartSync chart editing (Overall) | 50.6% ✎ | ▂··▂█▂▄▂▂·▂▂ beats 3/12 | 92% |
$ where to run it
No verified API or download recorded yet · add one
Official weights and documentation: huggingface.co/black-forest-labs ↗
$ how the score was worked out · ChartSync: A Benchmark for Vi… 92%
Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works
| source | results | share of the score |
|---|---|---|
 ChartSync: A Benchmark for Visuo-Logical Cascading Chart Editing (arXiv:2607.10301v1) | 1 | 92% |
| prior · pull toward the middle | 8% | |
| weighted average | = 55.0 |
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json